subagent-coordinator
Coordinate all subagents in the Physical AI & Humanoid Robotics textbook project. Assign tasks, validate outputs, and track progress to determine eligibility for extra points and reusable intelligence.
When & Why to Use This Skill
The Subagent Coordinator is a specialized orchestration skill designed to manage and synchronize multi-agent workflows. It acts as a central hub for complex projects, such as technical textbook development, by intelligently delegating tasks to specialized subagents (e.g., DocAgent, ContentAgent, BackendAgent). By monitoring progress, validating output quality, and tracking performance metrics, it ensures seamless collaboration and high-efficiency execution in AI-driven environments.
Use Cases
- Case 1: Managing complex content creation projects by coordinating specialized agents for writing, diagram generation, and interactive quiz development.
- Case 2: Streamlining full-stack software development by routing specific tasks to backend, database, and authentication subagents while ensuring architectural consistency.
- Case 3: Automating project management and quality assurance by tracking task completion, identifying bonus-eligible contributions, and generating comprehensive progress reports.
| name | subagent-coordinator |
|---|---|
| description | Coordinate all subagents in the Physical AI & Humanoid Robotics textbook project. Assign tasks, validate outputs, and track progress to determine eligibility for extra points and reusable intelligence. |
Subagent Coordinator
Instructions
- Receive a list of tasks or subagent actions in JSON or plain text format.
- Delegate tasks to the appropriate subagent:
- DocAgent → chapter generation, fixes
- ContentAgent → diagrams, summaries, quizzes
- BackendAgent → API and server tasks
- DatabaseAgent → DB updates
- RAGAgent → content embeddings
- AuthAgent → signup/signin
- Monitor task completion and validate outputs according to quality standards.
- Track tasks that go beyond the base requirements to identify extra work eligible for bonus points.
- Summarize completed tasks, extra contributions, and prepare a report for scoring.
Example
Input:
{
"tasks": [
{"agent": "DocAgent", "task": "Generate chapter 3 diagrams", "status": "pending"},
{"agent": "ContentAgent", "task": "Add quiz for chapter 2", "status": "pending"}
]
}